Results 111 to 120 of about 1,054,196 (331)

Multivariable Nehari problem and interpolation

Journal of Functional Analysis, 2003
The author obtains a multivariable version of Nehari's theorem for generalized Hankel operators. He also obtains an analogue of the Adamyan-Arov-Kreĭn theorem on \(s\)-numbers of Hankel operators. As an application, a description of Hankel operators on Fock spaces is given.
openaire   +3 more sources

Property Prediction and Resilience Analysis in Polyionic Glasses Using a Machine‐Learning Algorithm with Multivariate Output

Advanced Materials Technologies, EarlyView.
A multivariate machine‐learning model is employed using Gaussian process regression to predict property profiles of complex glass formulations based on small but highly consistent datasets. Abstract Designing the chemical composition of multi‐component glasses toward a set of target properties requires information on a complex range of trade‐off ...
Yuanqing Lu, Zhiwen Pan, Aaron Reupert, Rene Limbach, N. M. Anoop Krishnan, Katrin Wondraczek, Lothar Wondraczek   +6 more
wiley   +1 more source

Upsampling for Improved Multidimensional Attribute Space Clustering of Multifield Data

Information, 2018
Clustering algorithms in the high-dimensional space require many data to perform reliably and robustly. For multivariate volume data, it is possible to interpolate between the data points in the high-dimensional attribute space based on their spatial ...
Vladimir Molchanov, Lars Linsen
doaj   +1 more source

Interpolation and backdating with a large information set [PDF]

Existing methods for data interpolation or backdating are either univariate or based on a very limited number of series, due to data and computing constraints that were binding until the recent past.
Angelini, Elena, Henry, Jérôme, Marcellino, Massimiliano   +2 more
core  

Multivariate Polynomial Interpolation in Newton Forms

SIAM Review, 2019
Techniques of univariate Newton interpolating polynomials are extended to multivariate data points by different generalizations and practical algorithms.
R. D. Neidinger
semanticscholar   +1 more source

Smart Sampling Capsule for Capture and Detection of Enteric Pathogens in the Small Intestine

Advanced Materials Technologies, EarlyView.
An ingestible smart sampling capsule for capturing asymptomatic enteric pathogens at their primary sites of interaction within the small intestine. This capability enables non‐invasive detection of early pathogen colonization within the gut environment prior to fecal shedding, providing a robust approach for pathogen surveillance and microbiome studies.
Akshay Krishnakumar, Devendra Sarnaik, Nicholas L. F. Gallina, Robyn R. McCain, Christa Crain, Arun K. Bhunia, Rahim Rahimi   +6 more
wiley   +1 more source

Comparison of IDW, Kriging and orographic based linear interpolations of rainfall in six rainfall regimes of Ethiopia

Journal of Hydrology: Regional Studies
Study region: Six rainfall regimes of Ethiopia covering an area of 1.13 million km2. Study focus: Hydrological studies in mountainous terrain require high-resolution spatiotemporal rainfall data. Individual linear interpolation based on elevation, aspect
Habtamu Tsegaye Workneh, Xuelong Chen, Yaoming Ma, Eyale Bayable, Anik Dash   +4 more
doaj   +1 more source

Applications of QSPR and Machine Learning in Molecular Photonics

Advanced Optical Materials, EarlyView.
Quantitative structureproperty relationships (QSPR) and machine learning (ML) are transforming photochemistry by enabling pre‐synthetic screening of photoactive molecules. This review outlines advances in data‐driven discovery of optical materials and functional dyes, identifies effective descriptors and models for photophysical processes, and provides
Andrey A. Buglak, Platon P. Chebotaev, Mikhail A. Filatov   +2 more
wiley   +1 more source

A kind of improved bivariate even order Bernoulli-type multiquadric quasi-interpolation operator and its application in two-dimensional coupled Burgers’ equations

Boundary Value Problems
Multiquadric quasi-interpolation is an efficient high-dimensional approximation algorithm. It can directly obtain the approximation term and its derivatives without solving any large-scale linear equations.
Ruifeng Wu
doaj   +1 more source

Perceptual Bias in Motion Discrimination is Related to Asymmetric Interhemispheric Alpha Traveling Waves

Advanced Science, EarlyView.
The study shows an asymmetric connectivity between visual motion areas, with alpha travelling waves favouring left‐to‐right (thick red arrow) over right‐to‐left (thin blue arrow) communication. This asymmetry predicts a bias toward reporting leftward (higher number of red dots) over rightward (lower number of blue dots) motion direction, regardless of ...
Luca Tarasi, Andrea Alamia, Vincenzo Romei   +2 more
wiley   +1 more source